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Microsoft
AI embedded in Microsoft 365, where most enterprise work already happens.
In short
Reaches into Outlook, Word, Excel, Teams, and SharePoint with the organization's own content, under existing Microsoft tenancy, identity, and compliance controls. For most large enterprises that governance continuity matters more than raw model quality.
Built for: Enterprise Operations · Compliance/Audit Professionals · Marketing
| Tier | Model | Key inclusions | Limits |
|---|---|---|---|
| Free | $0 | Consumer chat | Rate limits, no tenant grounding |
| Microsoft 365 Copilot | Per-seat, annual | In-app AI across Microsoft 365, tenant grounding, admin controls | Requires qualifying M365 licence |
| Azure OpenAI | Pay per token | Direct model access under Azure controls | Quota by subscription |
Pricing, version numbers, context-window sizes, and compliance certifications change frequently. Where stated they are accurate as of the as_of date and should be confirmed with the vendor before any procurement or compliance decision. Where they could not be stated confidently they are omitted rather than guessed.
The governance question this raises
Because it inherits existing Microsoft 365 permissions, it will surface anything a user already had access to. Organizations with permissive legacy SharePoint permissions frequently discover the problem only after deployment. Fix permissions before rollout, not after.
No compliance certifications are listed here. Certification status is vendor-specific and time-specific, so it is stated only where verified rather than assumed. Check the vendor’s trust centre and confirm it covers the specific tier you are buying.
API and SDKs: Available through Azure OpenAI for direct model access, and extensible via Copilot Studio.
Strengths
Drawbacks
Consider instead: Gemini, ChatGPT, Claude
Reaches into Outlook, Word, Excel, Teams, and SharePoint with the organization's own content, under existing Microsoft tenancy, identity, and compliance controls. For most large enterprises that governance continuity matters more than raw model quality.
Primarily OpenAI models running under Microsoft's enterprise infrastructure, with Microsoft's own models in some surfaces.
Commercial data protection applies to licensed enterprise use: prompts and responses are not used to train foundation models. The free consumer tier operates under different terms.
The closest comparable tools are Gemini, ChatGPT, Claude. Which fits depends on where the work already lives and what the organization's data terms require.
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